|
|
Absolute deviation, 绝对离差7 J8 R# _5 n8 _% o$ _, v
Absolute number, 绝对数; `" B2 n* P3 U, F
Absolute residuals, 绝对残差
) N8 p' N3 |9 d, v9 ~* F% TAcceleration array, 加速度立体阵. W7 ^, I$ y; n' [" s: [: ]7 z8 n( P
Acceleration in an arbitrary direction, 任意方向上的加速度5 z! E+ U, z* B5 u) S
Acceleration normal, 法向加速度1 M) x$ C. A' p5 F9 h' m" G. I
Acceleration space dimension, 加速度空间的维数
" B; M) Q; Q& [) `0 \) _8 QAcceleration tangential, 切向加速度
: p% ~1 Q z8 [1 h: V' O+ I) ?0 @Acceleration vector, 加速度向量
! c' h- p6 a, j: f% a6 PAcceptable hypothesis, 可接受假设
* n' y* m! x& Q# x* `Accumulation, 累积! D5 |7 P% {* h2 n9 r" q2 f
Accuracy, 准确度# w3 e$ c6 E" L4 i* T+ h
Actual frequency, 实际频数
4 Z& P0 b! Y% o2 ]6 d' rAdaptive estimator, 自适应估计量0 M( w6 @ E7 j' p
Addition, 相加9 r% g3 H* M' a* C( x1 V% b
Addition theorem, 加法定理
1 y/ ]2 _. P* Q" W+ j0 k6 JAdditivity, 可加性9 m' t8 k2 u& P0 \4 t$ i: v# P
Adjusted rate, 调整率
% d: a# j6 Z2 a% FAdjusted value, 校正值
3 j) Y6 H" Q! r: r3 UAdmissible error, 容许误差
+ `7 A- d8 u0 Y; a7 c- e4 pAggregation, 聚集性, @8 t! X" x: f' ?( K
Alternative hypothesis, 备择假设
& F d# I9 f' f2 x2 g5 ^$ X% MAmong groups, 组间
+ H/ _. n1 G: U; C2 DAmounts, 总量
" o, }- ~) L' r! uAnalysis of correlation, 相关分析
! ~2 H9 z% _1 W+ v t. eAnalysis of covariance, 协方差分析
, A! V7 h2 q! Y, ~" kAnalysis of regression, 回归分析. h0 h7 D) H' n+ N8 K+ g! v
Analysis of time series, 时间序列分析
- B! S, |1 B4 B3 \1 b; R7 A# N! SAnalysis of variance, 方差分析 ^5 ]$ r6 F3 k- f j; k
Angular transformation, 角转换- ^3 B/ k5 C- }5 N' r3 n
ANOVA （analysis of variance）, 方差分析( h" m. a3 ?5 i) {1 s9 T# `+ _
ANOVA Models, 方差分析模型
# V( | q% g3 ^/ V" ]2 |, bArcing, 弧/弧旋4 d$ q* v# Y) C# ]
Arcsine transformation, 反正弦变换) A v! b* S$ R; y2 h( ]8 X- Q
Area under the curve, 曲线面积4 e" g2 s% [! V, a4 D
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
# s; Z- B' A/ ^( [5 FARIMA, 季节和非季节性单变量模型的极大似然估计 ^1 F/ D: d7 Y, T
Arithmetic grid paper, 算术格纸 Y% H! Y2 |6 M2 _( _( H! [
Arithmetic mean, 算术平均数
( J4 R" h" u, ] b% m+ xArrhenius relation, 艾恩尼斯关系
$ S m, ]/ N0 d0 x8 J' ?Assessing fit, 拟合的评估
7 E1 ]; \3 C* M0 F3 C) FAssociative laws, 结合律* j% x+ _ Z+ k, V0 n
Asymmetric distribution, 非对称分布- @2 }$ ^6 U% B4 v( b; z! o2 N
Asymptotic bias, 渐近偏倚
* i9 W. l" J/ z3 H1 \& JAsymptotic efficiency, 渐近效率
- E7 v+ l: ~1 A# }' G g& oAsymptotic variance, 渐近方差
$ W0 d! k2 j% H& a9 i: l4 d! }Attributable risk, 归因危险度
) X6 ?8 U' J+ I! S2 WAttribute data, 属性资料$ x, K3 Z1 S% S% ~4 f; z
Attribution, 属性1 i% m/ E9 _) Q! V
Autocorrelation, 自相关) n- y2 s+ Y( W
Autocorrelation of residuals, 残差的自相关
0 c/ P T6 ~" X2 T' R3 h3 {& oAverage, 平均数
2 {% T7 X% T# n4 } t$ i9 [; |, |; NAverage confidence interval length, 平均置信区间长度! o: u4 N6 |) _0 D( @3 T
Average growth rate, 平均增长率
# ]$ P+ G/ i' e* A$ B g- H! YBar chart, 条形图
! d5 o) B5 }% Y, c& F! v: @Bar graph, 条形图: A+ C3 X$ i7 M1 i5 O8 t
Base period, 基期6 o, y6 ~9 Y1 P+ A }& _, Q# w' M
Bayes' theorem , Bayes定理+ R% `' i) B4 {( P% O6 i- ]
Bell-shaped curve, 钟形曲线
- ]& ^* ?1 I( G5 h5 LBernoulli distribution, 伯努力分布
, |% M: E) m2 `6 _2 @4 h1 iBest-trim estimator, 最好切尾估计量 h; i+ x5 K/ H6 F3 ?
Bias, 偏性
x* C* G+ F2 c7 g! x2 SBinary logistic regression, 二元逻辑斯蒂回归. r1 }3 o1 V. {0 A
Binomial distribution, 二项分布+ \& |6 u) D1 U7 s0 i$ f
Bisquare, 双平方
* r) r3 z6 X+ d. f$ S9 p+ pBivariate Correlate, 二变量相关! Z# v0 P* y* S9 c( _5 a
Bivariate normal distribution, 双变量正态分布& g. X1 z7 i Q, F! `% f, {
Bivariate normal population, 双变量正态总体4 K0 E5 z! \* k3 K3 u$ h; V; e$ d
Biweight interval, 双权区间
6 g, Q% n# v. LBiweight M-estimator, 双权M估计量
) ^: a$ g% [2 W3 _) _Block, 区组/配伍组
5 ^+ N5 { [6 j" mBMDP(Biomedical computer programs), BMDP统计软件包 M, G9 Q$ J9 n4 ]+ j; B
Boxplots, 箱线图/箱尾图4 H3 Q; @9 @# K/ k1 c
Breakdown bound, 崩溃界/崩溃点
/ j; D3 {7 V9 v4 V8 B8 d8 yCanonical correlation, 典型相关1 a Z! A' `+ x7 h f* T/ O
Caption, 纵标目
: N( G5 s& B- ?2 h1 `Case-control study, 病例对照研究- n" c9 R6 w6 ]( j% ^! e! C1 B4 E( ^
Categorical variable, 分类变量
/ U) b2 G+ C4 u; \6 ICatenary, 悬链线6 K2 v6 J. w: F" \
Cauchy distribution, 柯西分布
/ V9 k0 o3 z* W+ a5 F; aCause-and-effect relationship, 因果关系
" `1 M* D" O% n8 h3 N9 x2 r: ]Cell, 单元
" A4 {" i3 k6 M5 d w. M m! bCensoring, 终检% k9 m5 i1 h' T& n
Center of symmetry, 对称中心% V: O% n+ @# i, H2 Y$ k
Centering and scaling, 中心化和定标
. J+ G3 ]: x" I& V) }Central tendency, 集中趋势# C1 V& h7 j# C9 j3 P) x
Central value, 中心值0 ^2 Z3 |$ f2 M0 a. Q! } a
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测* }$ |; G( y o& g+ ?; P! B
Chance, 机遇 c8 y0 b1 Z* C
Chance error, 随机误差' q( x, K& s, ]+ w6 U; K8 X
Chance variable, 随机变量
- i" ^+ I& \" Z BCharacteristic equation, 特征方程& R4 a2 D# [" _/ i8 Y
Characteristic root, 特征根
# l* a8 N0 ^- ^5 z- ~Characteristic vector, 特征向量! v! J9 N; a6 H0 N8 |
Chebshev criterion of fit, 拟合的切比雪夫准则0 v% g& n3 \8 L/ E* E% R6 [
Chernoff faces, 切尔诺夫脸谱图
. c& x& F u ]Chi-square test, 卡方检验/χ2检验0 `, z0 c* b& h+ v* M
Choleskey decomposition, 乔洛斯基分解' X$ w- l3 c+ R3 |8 g& \
Circle chart, 圆图
! {% z) F- J! i, I5 D. v- pClass interval, 组距0 J3 ^9 @ k3 b, T$ Q+ D8 B
Class mid-value, 组中值5 i* @1 M" ?, V2 E2 o
Class upper limit, 组上限0 A" b6 ?* F! J
Classified variable, 分类变量, Q2 c) {& p e$ b3 O( ]$ C6 n
Cluster analysis, 聚类分析4 J$ L w: d, m( l2 k- F# D
Cluster sampling, 整群抽样
" h* Z/ k. x" Y6 N" _( nCode, 代码
& z" D; q. z+ C Y# V5 R. [9 I8 G( YCoded data, 编码数据3 V) v) _! G" V! ]7 V3 X
Coding, 编码
" a+ y$ { z( L9 `- N* ECoefficient of contingency, 列联系数
8 L5 C* r# {4 ]: |( A* ?Coefficient of determination, 决定系数1 T& Y! q3 {# q2 V4 Q
Coefficient of multiple correlation, 多重相关系数9 ~1 Y) U+ x1 R& ]" R6 c
Coefficient of partial correlation, 偏相关系数
# X' ?9 B! V3 t6 @' m) s7 f+ dCoefficient of production-moment correlation, 积差相关系数
8 y7 |4 J+ A0 B- R1 @: QCoefficient of rank correlation, 等级相关系数
% r+ {. q. r9 L ~ Z% j$ cCoefficient of regression, 回归系数6 j9 G# F4 r4 ^ u9 E7 V
Coefficient of skewness, 偏度系数3 v1 _$ z% N* T; ~
Coefficient of variation, 变异系数, d" a" F, e5 g# Z
Cohort study, 队列研究
( u( ^; l$ r7 Z# \1 ?Column, 列
. [3 ]3 [) N6 n- K/ N- M: DColumn effect, 列效应# z( U2 q: \, L+ B* b, R$ |0 v
Column factor, 列因素
9 `, L7 d, b) a3 G; \2 k' BCombination pool, 合并
- M0 I) L8 W' H# V+ ZCombinative table, 组合表$ C6 Q' {. K, b$ c, i' E2 S
Common factor, 共性因子6 m2 z' S# _9 r+ A, }0 w
Common regression coefficient, 公共回归系数
4 p9 e) [6 t8 s$ K. b* qCommon value, 共同值
3 q) T3 }( H$ hCommon variance, 公共方差" ? v" l; f# q, S; M% Q
Common variation, 公共变异' ^# ^) O! e6 G2 X6 m
Communality variance, 共性方差' z% x" P$ F; S; U" v$ V1 o
Comparability, 可比性
~1 L- o, P( B, O2 @0 X& uComparison of bathes, 批比较6 Z# `. [9 J, t1 X* F6 b! o
Comparison value, 比较值0 `! M# \% F! Q3 s$ h% N h
Compartment model, 分部模型
5 f" B5 A) S5 e* T5 DCompassion, 伸缩/ B( F/ u: S/ V+ r8 o$ _- _
Complement of an event, 补事件
, z4 y& [4 R3 \# F xComplete association, 完全正相关! ~2 A- g. {0 t( V8 |
Complete dissociation, 完全不相关
" v- x4 z% P+ xComplete statistics, 完备统计量: A- W- u0 V5 O9 D& A8 q2 _9 s
Completely randomized design, 完全随机化设计# \3 C: F: f3 z6 F% K8 i
Composite event, 联合事件
/ T/ |3 L, u( _! NComposite events, 复合事件
C1 y/ p9 O; xConcavity, 凹性4 Q1 E6 q- U; K# `5 ]2 S5 X
Conditional expectation, 条件期望
3 [, e7 K o9 j' l$ WConditional likelihood, 条件似然 Y/ N9 u& E$ d- D! G" j
Conditional probability, 条件概率8 U6 B, V& \* _/ q' {
Conditionally linear, 依条件线性# J/ u- A$ D8 }
Confidence interval, 置信区间- z) g/ v9 _- r7 h! Z
Confidence limit, 置信限; ~! _2 V+ O" G) R1 h
Confidence lower limit, 置信下限1 G! D5 Q2 _- u/ j
Confidence upper limit, 置信上限
; n+ U: m# D4 QConfirmatory Factor Analysis , 验证性因子分析
" P2 L% W% B, L# c8 TConfirmatory research, 证实性实验研究5 W; k3 P6 Q% {9 ~% Y0 D
Confounding factor, 混杂因素2 Z* Y+ n, {$ n8 p' |* S9 b
Conjoint, 联合分析
. o0 ]: z! S' s$ k6 z# n) \7 `) o( uConsistency, 相合性4 ]7 e& v1 p" \: q5 \
Consistency check, 一致性检验3 S; m+ [% T& a
Consistent asymptotically normal estimate, 相合渐近正态估计
3 j' c% R, D" A, T- V; M" RConsistent estimate, 相合估计
1 Q% w0 w6 g* K- A9 PConstrained nonlinear regression, 受约束非线性回归
( {# u; b9 U9 d7 I2 l9 X" e4 ~& \Constraint, 约束
( J) a! I" y' `, ~3 P. b! |' XContaminated distribution, 污染分布0 b, H! q/ w h+ W" T
Contaminated Gausssian, 污染高斯分布0 B; w& U7 B# K* r
Contaminated normal distribution, 污染正态分布
: F+ x6 S6 X. a2 L* S. _) c9 BContamination, 污染
4 O9 k- P7 K8 N6 x0 }Contamination model, 污染模型) A2 e2 N, N# D- S4 H
Contingency table, 列联表) X6 @; [" q8 v) z- v8 Z
Contour, 边界线
: K2 }2 Y% f! mContribution rate, 贡献率8 k$ s. B$ U1 v) D1 j/ P1 a
Control, 对照' c% j3 u- i2 h% Y% K0 H( j$ }* j
Controlled experiments, 对照实验
, S8 l4 K7 m- U4 c; f5 a. @Conventional depth, 常规深度
2 y8 D6 k; D# I+ @; YConvolution, 卷积
' G" F+ }3 s- a7 eCorrected factor, 校正因子
% {2 O$ k- [3 k3 l9 }0 H, S0 ACorrected mean, 校正均值4 X) k1 V- V2 e4 g J* t9 O4 W
Correction coefficient, 校正系数
- k- I5 @0 U& S$ `* [) Y* \) SCorrectness, 正确性4 z! @: E% ^0 ^
Correlation coefficient, 相关系数
1 O6 j- w0 Q' t, _Correlation index, 相关指数
& J7 x, W( @; h" s* _Correspondence, 对应
: I7 i W1 A9 c5 R, XCounting, 计数
z/ T: [$ r4 g' ^Counts, 计数/频数! Z# L2 F/ |/ F$ u: c4 m3 \
Covariance, 协方差' N: s0 P1 p7 T+ _7 t
Covariant, 共变 * F* ~* j4 Q4 }$ y, i
Cox Regression, Cox回归* Q$ h8 ^: F! R' \8 V# x. Q
Criteria for fitting, 拟合准则
& m2 ?; m/ e5 J% c6 E( _0 A- KCriteria of least squares, 最小二乘准则. Z+ H- i" _ m0 G) k" G& O
Critical ratio, 临界比
3 `( U5 K4 Q' m( D# s0 X" {( jCritical region, 拒绝域
; h+ S: G$ g* D; N+ [Critical value, 临界值* m" r& a2 I/ x6 L4 t7 U
Cross-over design, 交叉设计9 Z8 V- N& b7 L
Cross-section analysis, 横断面分析
5 a! h* O u. T( {1 kCross-section survey, 横断面调查
: f. m! {+ k# P/ z' n$ I z% lCrosstabs , 交叉表 ) i8 k8 r' S. y' z. i
Cross-tabulation table, 复合表
# v n& J; z2 f( O# ?Cube root, 立方根3 m3 F* B' A2 m
Cumulative distribution function, 分布函数: l8 b; i4 r$ \/ \
Cumulative probability, 累计概率
( @/ b- H4 m# P0 a9 d! GCurvature, 曲率/弯曲/ Q P; ]9 [- L6 z o
Curvature, 曲率" U0 P) S3 T1 E8 d, J0 J3 _& X, n
Curve fit , 曲线拟和
4 }' _9 O9 H T% \/ O* QCurve fitting, 曲线拟合
y5 @( m y, ~, [* @9 hCurvilinear regression, 曲线回归. f& z& C' a- a1 |6 |5 [/ c6 [
Curvilinear relation, 曲线关系
# L) q0 V7 P" F: X( _% gCut-and-try method, 尝试法6 H1 v. A$ n" N# k+ g- p
Cycle, 周期8 g5 @! E* m5 U ?; z
Cyclist, 周期性1 W5 a" S2 d L' y
D test, D检验
$ p" X8 Z$ G' t) ^+ NData acquisition, 资料收集4 ?! I; T: N. [; \8 q
Data bank, 数据库
$ [- I6 Q s1 qData capacity, 数据容量) a4 S: D# u: \
Data deficiencies, 数据缺乏
0 s; D A9 z w' _1 i" eData handling, 数据处理0 B H( G4 R N. l8 {6 M z
Data manipulation, 数据处理
* A6 D K5 F O4 t ?& Y0 RData processing, 数据处理4 S, P( B9 v5 N
Data reduction, 数据缩减- w+ ]9 q% I6 K! q
Data set, 数据集
& r; K& ?; f) x0 g7 OData sources, 数据来源* e2 L4 W6 C4 M& _: v
Data transformation, 数据变换) l- Z/ _ g* P! |# o0 _
Data validity, 数据有效性
! @ W+ F* p7 m0 P) UData-in, 数据输入4 v5 h5 c Q, y! w7 _: V
Data-out, 数据输出 B% u% k* w1 m& D+ ?5 {& M1 Y! e
Dead time, 停滞期
{) z" d' N6 z' {Degree of freedom, 自由度
2 r" |8 i) r! T( H: S6 o C/ dDegree of precision, 精密度
, N8 x8 [9 h8 dDegree of reliability, 可靠性程度% c: T4 G: @/ c: R% m( F
Degression, 递减4 j% q+ M+ }& U% ]) u0 x
Density function, 密度函数
: w) x8 o1 D1 A0 a7 @8 E) N: JDensity of data points, 数据点的密度
/ B- {3 N; v5 b* t- SDependent variable, 应变量/依变量/因变量
% H5 k5 |( }- @8 VDependent variable, 因变量
& K; U/ L9 ~2 I- e0 |Depth, 深度
% p% d6 j4 r; d: X, ?# @Derivative matrix, 导数矩阵1 c7 J+ D! @. F
Derivative-free methods, 无导数方法
/ Y. k( Y2 u9 M9 @% \& C3 j$ rDesign, 设计
0 H! x9 x! v# d( i0 _- N/ yDeterminacy, 确定性
& v8 ~( S8 |# \6 g+ Q! w" aDeterminant, 行列式
0 r1 m2 M3 p% tDeterminant, 决定因素
. P: N% f/ \6 Z7 U9 H: f5 \Deviation, 离差
W* _) I' h' j4 q) U1 x! ODeviation from average, 离均差% }; ~4 I: F/ w; t" G5 h, Q/ E
Diagnostic plot, 诊断图
, C% C; e+ q4 c9 p- xDichotomous variable, 二分变量/ |7 l" v1 W9 A+ P$ T' b# m
Differential equation, 微分方程
" B8 B# X) ~: X: z( L1 K, iDirect standardization, 直接标准化法
6 y! p; ]0 V2 M$ \$ DDiscrete variable, 离散型变量
( d! }1 d" N) `& c. X3 R+ a7 BDISCRIMINANT, 判断 2 D" y. }! C6 @
Discriminant analysis, 判别分析$ x: ]$ d8 V2 U: ]4 ~0 l6 F
Discriminant coefficient, 判别系数* Y' U* t* Q- c; Y9 e, N7 F' R% S9 G
Discriminant function, 判别值
+ g/ J9 m8 G e) \Dispersion, 散布/分散度
: X9 q' \* }7 E, KDisproportional, 不成比例的
, c8 u" w$ r0 y" j0 O+ W9 mDisproportionate sub-class numbers, 不成比例次级组含量3 G Q$ O3 j$ n5 V8 B
Distribution free, 分布无关性/免分布9 c/ B) v6 m; Z& Z! y: G: C
Distribution shape, 分布形状
; o" i2 }4 A- ]9 s$ ~" Q' F9 I5 e* UDistribution-free method, 任意分布法
* @$ B) R' G, B( tDistributive laws, 分配律+ ]+ g% f2 C. f( N0 A [* u
Disturbance, 随机扰动项
0 @. E# ]: o: bDose response curve, 剂量反应曲线
1 R% V& T& J0 q3 F0 X0 UDouble blind method, 双盲法
& W: \$ _+ B4 V1 RDouble blind trial, 双盲试验: L5 B7 a0 q) Q8 w. b3 \# b" o
Double exponential distribution, 双指数分布
+ r8 u7 x' Q1 I9 N. ], nDouble logarithmic, 双对数7 b- k4 U9 s7 B+ |( U Q% K
Downward rank, 降秩
5 u8 F% U7 p- G) T j ^" F3 uDual-space plot, 对偶空间图
# Z1 t$ {% t1 F; }1 aDUD, 无导数方法
" L6 E# R) |7 A# i- c1 CDuncan's new multiple range method, 新复极差法/Duncan新法
: q$ W( Q! k( x0 aEffect, 实验效应
7 x# b; \% t8 K6 T+ QEigenvalue, 特征值! p) a0 b7 _9 p9 F, W
Eigenvector, 特征向量! i4 w2 U! c- e6 e3 \
Ellipse, 椭圆
/ q$ m( n+ N" h8 x9 lEmpirical distribution, 经验分布! u: e/ Y# {. z3 c
Empirical probability, 经验概率单位
8 `: {! L7 m( v/ Y. I# DEnumeration data, 计数资料5 v/ Q9 m* i& s
Equal sun-class number, 相等次级组含量4 U7 q& n6 |% H
Equally likely, 等可能8 J: h$ E0 `& l/ E; k* l/ p
Equivariance, 同变性. C) N' L3 l- l- u( W0 o# `# L/ A
Error, 误差/错误
7 R9 R3 b( [2 X% x! L3 }! UError of estimate, 估计误差( }% t/ _% g4 U1 h2 l4 d
Error type I, 第一类错误0 l' P8 J& {# B6 ^& M8 [" B+ {! S
Error type II, 第二类错误
0 ]6 q: y$ }; ^/ Y1 {! |' GEstimand, 被估量! V" u! R7 B! g" V7 Y _( ]
Estimated error mean squares, 估计误差均方' y* J- \: \' J" H+ T1 ?: E+ @
Estimated error sum of squares, 估计误差平方和, m- Z: _1 H5 \: Y' y% f U
Euclidean distance, 欧式距离
! u$ {. m9 m( y% ?+ R7 MEvent, 事件$ @' ]' [7 Q3 B7 U
Event, 事件5 S4 @: f1 k2 n% @, i2 a
Exceptional data point, 异常数据点
; |! e) y6 n! jExpectation plane, 期望平面( E9 {) P# k7 l+ G
Expectation surface, 期望曲面
3 Z9 l- g* ]- x! N2 g1 mExpected values, 期望值
1 j, y8 P& a- ]! b ] m, V7 XExperiment, 实验' `9 t- t2 k0 w( n! F3 B
Experimental sampling, 试验抽样
j- b4 L( ~; ~Experimental unit, 试验单位- g( K F% W& X$ S$ f& q
Explanatory variable, 说明变量
; r: C$ y' `. d7 f! Z5 EExploratory data analysis, 探索性数据分析
9 }) l" \$ e/ ^2 h, G; m7 x" n! C2 yExplore Summarize, 探索-摘要1 h: b! ]0 [5 v4 E9 Q# b
Exponential curve, 指数曲线
~; Z( K5 o4 U; [5 D2 d* t+ bExponential growth, 指数式增长
+ b. V. i0 W$ n' r, H) NEXSMOOTH, 指数平滑方法 9 B1 {& s" H! ^% u( P
Extended fit, 扩充拟合" H& `0 E$ `4 V% w
Extra parameter, 附加参数
1 B1 \: ~" n) wExtrapolation, 外推法
& _7 R; j7 e8 I, [- J( v# i8 ]Extreme observation, 末端观测值
. _' F z: C* lExtremes, 极端值/极值
+ p% c7 s& H4 D1 ?6 ZF distribution, F分布
7 h* g I; i; X ?: YF test, F检验
V; m1 h" H0 b/ RFactor, 因素/因子1 K8 W- v1 I; M' E% t8 y& l) {
Factor analysis, 因子分析
$ q |: i' N* u; H/ gFactor Analysis, 因子分析% [3 J7 d: W- Y1 f0 a
Factor score, 因子得分
' J& W, w/ `1 V' DFactorial, 阶乘' z, j" m7 n! k; z. v& r2 ~
Factorial design, 析因试验设计
1 w* n5 L+ r$ j; \False negative, 假阴性
1 v! M8 d5 k, tFalse negative error, 假阴性错误
: T: \: Z4 Z% i% [6 @( V1 |& N, \Family of distributions, 分布族
* @ ?- Z6 |5 d, o- D$ mFamily of estimators, 估计量族4 p: O% [' l% L; \% p
Fanning, 扇面
% P. D! i/ h! A( C/ V yFatality rate, 病死率" I3 _6 r5 X9 B6 S1 ~4 @
Field investigation, 现场调查
; h& c6 v8 h& g( S6 l+ c' A6 IField survey, 现场调查
3 i9 o1 q4 L" V; _7 _3 g& IFinite population, 有限总体
4 L& B8 o* n( W. kFinite-sample, 有限样本
% P2 x% b8 m: tFirst derivative, 一阶导数, m# ?. w$ G s' i8 i' J6 d( Y, n7 W* W
First principal component, 第一主成分" c. p! m. x6 q$ c% ?* O: |1 A
First quartile, 第一四分位数/ m2 K4 u8 ^+ c) S6 j
Fisher information, 费雪信息量
) V! ]" X: b2 `$ LFitted value, 拟合值; o0 O$ g0 M& g! L' U
Fitting a curve, 曲线拟合
! P! M7 y: |; M- H- c4 ~Fixed base, 定基
5 P1 d8 M% V; ]4 ?Fluctuation, 随机起伏
7 K- l5 u8 B. t! p7 |7 z MForecast, 预测
& j3 I: C/ w( b- h. K7 L6 @ ]+ YFour fold table, 四格表
) l4 e4 X0 g1 o% }" z$ ]) uFourth, 四分点
! s2 r6 g$ L9 q$ UFraction blow, 左侧比率
' [, o3 c7 O6 {2 E6 g$ TFractional error, 相对误差& |6 c3 m w9 h2 K6 j
Frequency, 频率
, V6 X( Z5 @. `- o- d, v! ~* Z+ BFrequency polygon, 频数多边图( \0 J, _, {8 O& A: e3 r! K
Frontier point, 界限点
6 K1 s& a" J7 M) V6 ^Function relationship, 泛函关系
0 |5 {) \. z! |) CGamma distribution, 伽玛分布
+ h9 C1 v# A+ Y1 r9 R7 ^Gauss increment, 高斯增量+ K" j# j1 H8 p# J) n8 v9 j
Gaussian distribution, 高斯分布/正态分布
, R6 _) I/ {" g* E6 N7 oGauss-Newton increment, 高斯-牛顿增量
1 h7 L2 J% t) K' [( j/ t: WGeneral census, 全面普查
' e8 w) s2 x2 IGENLOG (Generalized liner models), 广义线性模型 # `# D% \2 s; a; d1 ?
Geometric mean, 几何平均数2 H: Y9 O. B/ t8 y/ S/ U
Gini's mean difference, 基尼均差
& M, M9 M1 L6 I9 V0 ~GLM (General liner models), 一般线性模型 5 I9 Z' `6 o1 _
Goodness of fit, 拟和优度/配合度/ U. N; i6 O. E/ \( v2 {( B; q
Gradient of determinant, 行列式的梯度1 O* N- p% z3 R
Graeco-Latin square, 希腊拉丁方$ A$ f3 G$ ?: f$ B; d% g. [, D
Grand mean, 总均值
x# x: [* n; ]& x5 MGross errors, 重大错误
; M* I& D) b$ {! F0 nGross-error sensitivity, 大错敏感度
/ \1 i2 T5 N: R% B) u! k( IGroup averages, 分组平均/ y- A5 l+ v* y \" q' u
Grouped data, 分组资料# o, m+ y* g( J
Guessed mean, 假定平均数
8 G0 _1 ^3 c) ~Half-life, 半衰期
" t& t- R r/ LHampel M-estimators, 汉佩尔M估计量7 z" b( J- R: \: X% o; h
Happenstance, 偶然事件
" q1 v- H; z2 }% t1 ~' i4 _, }; KHarmonic mean, 调和均数
6 C( |, l \4 G" `- Y% h6 yHazard function, 风险均数
1 D1 o4 }' X0 r! g2 nHazard rate, 风险率
9 \! S/ z5 Q) ^6 T2 HHeading, 标目 * g% P" R8 f: I9 V' }
Heavy-tailed distribution, 重尾分布- h6 t4 V9 F, X) P* H) A( U
Hessian array, 海森立体阵
3 h2 o) y5 i1 u8 o3 V( K7 S6 IHeterogeneity, 不同质
; |) s( @$ ? `" u$ DHeterogeneity of variance, 方差不齐 ' ~4 J9 Q5 f" G1 j9 c. V; C6 v
Hierarchical classification, 组内分组, q8 c5 q2 w- H; r
Hierarchical clustering method, 系统聚类法
# u; ]1 r. k8 T2 BHigh-leverage point, 高杠杆率点 x b2 c0 N. e! w2 j B7 @3 H0 a/ s
HILOGLINEAR, 多维列联表的层次对数线性模型7 _# @! x$ ^: e, ~ X
Hinge, 折叶点
6 W1 O& c! r) X$ {& ?Histogram, 直方图! o" r' B" Q' F8 A, ^
Historical cohort study, 历史性队列研究 5 }1 ~* ~/ L0 I
Holes, 空洞
! t8 w9 ^* F8 hHOMALS, 多重响应分析; e w6 n# Q9 y
Homogeneity of variance, 方差齐性
' J; B7 C+ b! `2 {+ L [. EHomogeneity test, 齐性检验
+ ~: |2 e8 r5 b6 s+ ]* k2 MHuber M-estimators, 休伯M估计量6 f% z( D8 |- o* \
Hyperbola, 双曲线
5 z. K$ B4 o: s' J) UHypothesis testing, 假设检验2 m- v3 f/ `- j/ @( j& v9 P
Hypothetical universe, 假设总体. ?9 Y7 U+ K/ }2 K
Impossible event, 不可能事件. S! b) b! e0 W C5 A8 L
Independence, 独立性8 @( _& E. {- [
Independent variable, 自变量( a% @9 [ X- P# f/ |9 I$ W
Index, 指标/指数
' R- Z* i1 o/ U" b# q' kIndirect standardization, 间接标准化法
( N0 |0 I: g2 t! n: p& WIndividual, 个体
8 i/ J( s+ Z3 ~/ g% YInference band, 推断带$ K- k/ c; V: A0 s6 N3 Y
Infinite population, 无限总体
& B! G" ~( _ a* n' N: OInfinitely great, 无穷大+ P3 H1 H( o% C
Infinitely small, 无穷小" [/ `- N2 _1 S& W# x
Influence curve, 影响曲线
' W8 @1 |4 h( T. ~7 s1 T/ r* W- BInformation capacity, 信息容量
! B9 {0 J# h) ^% K2 L( P) x; H# R2 `Initial condition, 初始条件& \0 c$ `( i: F3 R y) @
Initial estimate, 初始估计值1 B+ m. Y( Y" T9 u! `1 E
Initial level, 最初水平
4 N0 Q" J0 Z% X7 mInteraction, 交互作用7 I% W2 K/ Y- P6 i" E2 J/ E- a4 o
Interaction terms, 交互作用项! a4 p% _" H7 Y% H# Z& @
Intercept, 截距 A" p9 Z" G' ~- ]& {3 \
Interpolation, 内插法& ]4 L, H, X& o
Interquartile range, 四分位距
1 }+ ~$ t& {! p$ b9 \Interval estimation, 区间估计
( q7 n }: f! X9 ]2 }& |4 AIntervals of equal probability, 等概率区间
- J3 }2 w7 J, N1 P2 iIntrinsic curvature, 固有曲率; i/ j6 o9 r* f! |% |# x: Z
Invariance, 不变性5 S% P* F6 R' t
Inverse matrix, 逆矩阵, f' T6 j# {# r" O" O( }. F; N& ]
Inverse probability, 逆概率
4 t4 G0 S: h/ FInverse sine transformation, 反正弦变换
. t6 C C" n& M" M: bIteration, 迭代 T1 e' ]/ X6 [6 p, n
Jacobian determinant, 雅可比行列式- b% a; t7 ?) Z8 S; y8 z' E- k
Joint distribution function, 分布函数4 I2 j3 ]9 |7 C( s6 E9 M9 r
Joint probability, 联合概率3 ?( H$ W! F H+ l+ S' T
Joint probability distribution, 联合概率分布
- W* {* { O0 `" X8 W2 h2 uK means method, 逐步聚类法. K t/ q8 o6 l4 J6 f
Kaplan-Meier, 评估事件的时间长度
5 M9 f- ?7 C6 O2 h; a4 o1 X& FKaplan-Merier chart, Kaplan-Merier图
q3 j$ w+ g2 N) j7 _/ r- _1 PKendall's rank correlation, Kendall等级相关4 U Q! M( y9 e0 ]
Kinetic, 动力学
$ D9 ~ v8 d, a7 h/ I6 NKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
* m6 z* a% E& v& YKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验, `& o2 L8 R) G0 A$ ?5 O
Kurtosis, 峰度
: I9 a5 Z. B) B2 \2 y) Q1 qLack of fit, 失拟
1 F7 X) J$ ]' HLadder of powers, 幂阶梯8 s- @( L9 y! L. G: `4 a& w
Lag, 滞后$ ]& n4 @1 v* N( M
Large sample, 大样本
( J9 ~8 C* y0 Q6 g2 a% Z0 O$ Y- J ]0 ]1 iLarge sample test, 大样本检验
E+ N$ X. T `5 x4 GLatin square, 拉丁方
2 m- V- T- q; w# s' }- ^% ^1 I0 r- _* RLatin square design, 拉丁方设计
" Z, S( \9 Y: ]: ?Leakage, 泄漏
( @& B n6 u% E9 rLeast favorable configuration, 最不利构形7 s7 P+ u( v5 C1 m$ N, v+ s
Least favorable distribution, 最不利分布
4 x# K* A" K3 N. _Least significant difference, 最小显著差法
e6 b- w. Y8 Z& SLeast square method, 最小二乘法
! X# x3 `9 L$ y. G# P+ @" s2 [Least-absolute-residuals estimates, 最小绝对残差估计
. D7 {( [% G+ q0 b' n. CLeast-absolute-residuals fit, 最小绝对残差拟合8 |, q, [8 I$ ~! R8 u; z
Least-absolute-residuals line, 最小绝对残差线
5 X7 _8 q; n* W9 e; x, B2 n8 jLegend, 图例
7 q$ Z8 G9 f4 h% n3 v+ iL-estimator, L估计量2 b) r6 G. z* @6 ^9 D
L-estimator of location, 位置L估计量
2 i3 N) v: B2 d& i3 W, UL-estimator of scale, 尺度L估计量
# `0 r: O. q+ C0 ZLevel, 水平
! H% [* o8 U" @5 |# s8 N2 M' d3 k' iLife expectance, 预期期望寿命
+ P( x* f: w/ i$ G6 t# R" TLife table, 寿命表6 Z! n/ a' v6 I' T- d4 \" S
Life table method, 生命表法+ K, K2 R1 D U$ K2 ]
Light-tailed distribution, 轻尾分布
, E9 h H6 l4 s( K9 ]; N' B' [ V# mLikelihood function, 似然函数
/ R" {2 L D& z9 ^) ~' _Likelihood ratio, 似然比
4 i, R1 S8 Q$ d, i4 M# {6 d9 ^, wline graph, 线图
" _' o6 Z' V5 W) J$ l! D/ q* }Linear correlation, 直线相关* K. l$ ^/ k2 G1 m
Linear equation, 线性方程
+ i' Q; Y- f2 \: tLinear programming, 线性规划1 g- v% \, | Z g' _+ D
Linear regression, 直线回归1 l6 Z' n4 ]* T+ Y+ S4 }
Linear Regression, 线性回归3 |. x. {5 P- E! L2 Z _
Linear trend, 线性趋势
, U2 P5 q1 T/ ~7 ]Loading, 载荷
; m! e' x# R- l, b/ ILocation and scale equivariance, 位置尺度同变性
5 r- a5 |1 _1 i- N w8 rLocation equivariance, 位置同变性1 I/ h; v) f8 N5 Y9 Q
Location invariance, 位置不变性6 B' A/ @0 Q0 q6 M
Location scale family, 位置尺度族
# Q( ^. N% ^) z' H; ?' dLog rank test, 时序检验
" f9 W6 v6 x5 o1 E7 w0 Q; P( {Logarithmic curve, 对数曲线+ S2 f1 T1 A5 K& t1 U; k
Logarithmic normal distribution, 对数正态分布0 g, K" P- W/ D
Logarithmic scale, 对数尺度* b& ]/ [, v4 |' `- F
Logarithmic transformation, 对数变换
# n& j6 R. |3 g' A5 i) H" nLogic check, 逻辑检查
+ V' ]+ b4 r2 K1 H& E& S) G n: sLogistic distribution, 逻辑斯特分布3 U) f* C2 F2 a8 t& `, O3 ]
Logit transformation, Logit转换9 ]6 j( D7 e1 D
LOGLINEAR, 多维列联表通用模型 3 R# b- L, `) `3 n( V
Lognormal distribution, 对数正态分布
s; O5 d- ?$ h+ H/ y* ?7 LLost function, 损失函数
3 J+ k% _1 T! x4 k) z7 U9 ] b" z& GLow correlation, 低度相关; X8 Z% v( E. H9 p8 _& E% f. J
Lower limit, 下限- z4 L0 g- A& ?7 f7 H+ o" y
Lowest-attained variance, 最小可达方差3 T3 \. u) ]* ^% y. d
LSD, 最小显著差法的简称
5 X; m9 N% d1 o" [0 S8 G: P4 YLurking variable, 潜在变量
/ ?% o# n5 D* BMain effect, 主效应6 d0 P% h+ G! P/ y) Z: a! }
Major heading, 主辞标目
; F9 H" C" r5 B8 t: x) C4 V4 g/ LMarginal density function, 边缘密度函数1 e# U# ?, x3 c' G: Q
Marginal probability, 边缘概率* b/ B9 x, h- y5 `% h+ G0 F% S
Marginal probability distribution, 边缘概率分布$ v* i7 W5 k }8 l, M$ y" g, w! c
Matched data, 配对资料
5 s- u" X7 D5 o, u; zMatched distribution, 匹配过分布' d3 r8 j; |2 }) Z1 x# |
Matching of distribution, 分布的匹配: N' h; {: T- l" q, I- w
Matching of transformation, 变换的匹配* `. G* H7 m6 G- @
Mathematical expectation, 数学期望1 |, S( ~6 E2 m. E- Q, ?3 G
Mathematical model, 数学模型$ t) u% U* Z- Y( I/ V9 |7 e/ N' f* j
Maximum L-estimator, 极大极小L 估计量
+ `, }3 f& E8 D, MMaximum likelihood method, 最大似然法# _2 k1 r4 y y D
Mean, 均数* B. L# O/ x; ^; } K2 P& i
Mean squares between groups, 组间均方
& g) P9 Z6 I" P1 ^3 ?Mean squares within group, 组内均方
3 }8 k1 |. d1 W1 P( I$ @, aMeans (Compare means), 均值-均值比较
4 Y) s4 }0 F0 n0 }: J2 }0 q& }4 E: |Median, 中位数
& i2 r* s, o% z$ z9 hMedian effective dose, 半数效量6 E- c" [% I% S9 v' B
Median lethal dose, 半数致死量3 C6 I) e: x% Q0 Y$ Z. Q! ^* o
Median polish, 中位数平滑2 M8 }6 j& k" Q1 l' g
Median test, 中位数检验
* D3 `) i* r2 Z/ L, U' DMinimal sufficient statistic, 最小充分统计量9 f# z- z2 o+ p
Minimum distance estimation, 最小距离估计
4 f. h3 }: S& D4 R1 C* ~0 LMinimum effective dose, 最小有效量+ N. A4 J3 J, A) [
Minimum lethal dose, 最小致死量* r! R3 M, t2 L7 h$ M' r# U) t; ?& b
Minimum variance estimator, 最小方差估计量
) v+ X) X$ t1 Y3 V* Z9 LMINITAB, 统计软件包2 A/ \4 E* T- M& s2 l7 B
Minor heading, 宾词标目. U0 `* Z3 ]- [* i
Missing data, 缺失值: O; N& ~( c4 k7 T ~
Model specification, 模型的确定
" G5 x9 r0 C0 ]4 A8 A) mModeling Statistics , 模型统计
7 L' E& V2 X6 \7 BModels for outliers, 离群值模型
4 ~* F) I5 V. `2 pModifying the model, 模型的修正
1 U; }$ M- G; EModulus of continuity, 连续性模$ s d( |' i2 q3 X+ {+ k4 B. C8 _
Morbidity, 发病率
# s* w/ N1 c, Q0 p2 LMost favorable configuration, 最有利构形
- k1 S" b1 v. g2 \, ?, fMultidimensional Scaling (ASCAL), 多维尺度/多维标度6 `5 i9 d: \$ f; X" _
Multinomial Logistic Regression , 多项逻辑斯蒂回归; T' H# i; }# n% D+ x1 e: P
Multiple comparison, 多重比较8 J/ P( r: |: Q- k# p# @
Multiple correlation , 复相关
; H$ r# o. p5 a/ u; P; [% h5 {Multiple covariance, 多元协方差" \) D1 Y' Y' f/ y" K
Multiple linear regression, 多元线性回归
1 @% r2 D% _$ Z6 _0 M$ fMultiple response , 多重选项
4 T3 ^! y& r Z. m0 F2 fMultiple solutions, 多解
* o! z, j# c, j$ @) l( ^0 {( ^Multiplication theorem, 乘法定理
0 e0 o/ _& A' v9 V2 y3 j9 U9 [: uMultiresponse, 多元响应
# a9 r# X( D$ C3 CMulti-stage sampling, 多阶段抽样
/ g* _, x: @, z2 y [Multivariate T distribution, 多元T分布6 A8 T. ^9 U$ ^# c- |/ [; z
Mutual exclusive, 互不相容" w) U: y/ @' S. ]1 N# V
Mutual independence, 互相独立# u& X$ G6 s5 q
Natural boundary, 自然边界
# w/ Y! K% f6 N3 V3 tNatural dead, 自然死亡+ B j$ Z6 b' o* m
Natural zero, 自然零% f% u+ L' h P" M6 a# k
Negative correlation, 负相关4 j: z2 i5 Z" M! b0 G0 _
Negative linear correlation, 负线性相关
% F% `5 W8 N5 K8 h# kNegatively skewed, 负偏0 a# }) O" {8 x% u2 _
Newman-Keuls method, q检验+ P% |5 h: e# l0 B- o
NK method, q检验; O7 f. f' c; O9 W8 t5 B% b
No statistical significance, 无统计意义- A3 ]1 g# A) B. _- a
Nominal variable, 名义变量
# h1 o2 l4 G+ ~" S( x7 KNonconstancy of variability, 变异的非定常性. j, D) `, W C$ A* o3 X' ?
Nonlinear regression, 非线性相关3 M2 B8 t9 n/ S3 }/ ?% h
Nonparametric statistics, 非参数统计& T! K! H2 I: a1 N9 o
Nonparametric test, 非参数检验
7 a; k! p( Y$ M! z* b! S: Z" R! p) tNonparametric tests, 非参数检验
2 d+ `1 Q8 I. s- K% \ D7 q* MNormal deviate, 正态离差
/ {/ e- h9 G( `1 c1 ENormal distribution, 正态分布
& x4 S# N/ b3 [/ \0 KNormal equation, 正规方程组- u7 F8 p; b$ a8 N5 D4 [
Normal ranges, 正常范围* U @# z/ D# _$ Q, s$ w: o' g1 g
Normal value, 正常值
+ B6 ]% @3 V7 D7 |' C$ WNuisance parameter, 多余参数/讨厌参数
7 U5 J, n4 l' S7 m. s, x2 M5 aNull hypothesis, 无效假设 % {. H0 M3 R! q
Numerical variable, 数值变量+ p; r( |, Y. p5 G4 p
Objective function, 目标函数
6 n% E7 r0 [( v" C9 V* ZObservation unit, 观察单位
( `6 g! B7 m* H: hObserved value, 观察值2 \) I& p% f, S J: A
One sided test, 单侧检验
; I8 {9 ~8 ~5 d8 ROne-way analysis of variance, 单因素方差分析
4 Q4 V. Q z" lOneway ANOVA , 单因素方差分析
0 M7 W) I% F1 X( UOpen sequential trial, 开放型序贯设计
( H/ a% | `5 x7 P3 HOptrim, 优切尾
4 J2 O& P% E$ t3 kOptrim efficiency, 优切尾效率
9 P- k2 n( F: I0 wOrder statistics, 顺序统计量
; U9 Q; u4 d2 [+ c; S5 HOrdered categories, 有序分类
* C& u8 x0 E! V3 zOrdinal logistic regression , 序数逻辑斯蒂回归
- w+ z- }5 M9 Q, e; pOrdinal variable, 有序变量( ?# n% r- B2 A0 W
Orthogonal basis, 正交基% L* ]) k) O* `( n
Orthogonal design, 正交试验设计
1 N% s. l# i& A1 u! r+ O$ p0 R ^Orthogonality conditions, 正交条件
~4 k( z% ?% }3 I d! @" MORTHOPLAN, 正交设计
6 ~+ F) [9 I7 ^Outlier cutoffs, 离群值截断点
3 a7 _$ d) n, e. |; n. p6 WOutliers, 极端值. i* A8 H- [/ \# \- v
OVERALS , 多组变量的非线性正规相关
6 F' U9 l, U, @& H, l& f8 A, yOvershoot, 迭代过度
7 G/ W9 v0 _: s+ l$ I1 w1 c1 GPaired design, 配对设计1 B% A. \$ F& Y! `
Paired sample, 配对样本
% t9 m, N7 G B, P5 A: ?Pairwise slopes, 成对斜率
% k X" E; N ]5 G4 M/ G0 cParabola, 抛物线* k P$ R( {* h- A; A
Parallel tests, 平行试验$ `) A/ _3 b$ L
Parameter, 参数- M) P) S+ l2 e3 B2 ]
Parametric statistics, 参数统计
' S* m4 }& @( P- PParametric test, 参数检验
; t' j+ x, y# E* U4 c% _; s$ f) TPartial correlation, 偏相关
. }8 B4 b ]% y; X7 t/ GPartial regression, 偏回归
" J* c6 m& S0 A& c C0 w6 T Y- Q ?Partial sorting, 偏排序; O8 V% h4 ]4 D% e; C5 @* _- E8 z
Partials residuals, 偏残差
& \- m' [4 y ]4 ^Pattern, 模式
% O$ d! Z% a/ f0 E0 o3 S# |1 T9 HPearson curves, 皮尔逊曲线4 o: Y J& V- ?# p m; E- Q
Peeling, 退层
1 ^* E% K$ _& O b% E3 ZPercent bar graph, 百分条形图5 V/ E5 }+ g" m5 D) T: u" O/ f
Percentage, 百分比
. b+ t) @& F3 Z7 P- \$ U: ~' ^Percentile, 百分位数3 o. d2 ]; n! A$ [! N: }) [1 R7 A
Percentile curves, 百分位曲线
' r) H; X: g" c, LPeriodicity, 周期性
* o6 k' b3 Q: ?3 m" }: LPermutation, 排列
4 C4 Q2 B ~ F5 Q% ]0 D* {P-estimator, P估计量
; f8 ^0 Q* f" L2 ~! uPie graph, 饼图
& T q$ g$ Q" E, xPitman estimator, 皮特曼估计量" }: q% ~, j2 C% E
Pivot, 枢轴量" X' Z+ s$ G9 p) L! Z
Planar, 平坦 ~, [% x6 _ d0 T6 F4 g, P, Q6 P1 J2 w
Planar assumption, 平面的假设
8 A* Z7 q+ r! {- y% j5 gPLANCARDS, 生成试验的计划卡- A% l2 h/ H- ^/ |' a: Y
Point estimation, 点估计
0 D" J+ D$ D; P6 M& U/ g) ~& wPoisson distribution, 泊松分布
& B& h( M6 b u7 w2 e* FPolishing, 平滑
: Z) n: M) X1 `8 z5 k: FPolled standard deviation, 合并标准差3 F7 ^9 D) \3 L' e# N d
Polled variance, 合并方差
q7 B1 R2 [! fPolygon, 多边图
0 g5 z- e: ?* b+ iPolynomial, 多项式
9 f# n8 F }! g: ~" P0 cPolynomial curve, 多项式曲线3 t, o" J& m. m* L @1 f( @6 s' X
Population, 总体4 F1 E& O/ l- d1 y$ L5 a6 `( L
Population attributable risk, 人群归因危险度
" [- Q& ~1 h: Q; Q( M: bPositive correlation, 正相关
8 {$ s0 E+ I3 @: W! Z8 y; m! sPositively skewed, 正偏( \' y* L6 _; z9 o- W7 B
Posterior distribution, 后验分布
0 h$ [$ _, h( H3 D% NPower of a test, 检验效能; |- M) Q, K- K
Precision, 精密度2 j2 P' y/ ]- y7 m1 _% B/ u
Predicted value, 预测值! s6 w. {; O/ I: i6 p$ h* U
Preliminary analysis, 预备性分析* b$ ^# b( `, v. Z$ g1 N
Principal component analysis, 主成分分析
3 e2 {& p# ~7 W; cPrior distribution, 先验分布; x% M; G, U6 a* e2 f
Prior probability, 先验概率) x$ R1 Y1 J: d9 ^7 a4 C
Probabilistic model, 概率模型
- t( G; m' i' j( D$ z$ dprobability, 概率
& n* D+ A# D& }Probability density, 概率密度
4 I4 W- C/ O- \, V+ Q; U) v+ mProduct moment, 乘积矩/协方差1 }, l/ ]; O! b$ a# q
Profile trace, 截面迹图' i3 ]0 H# {+ i8 p1 U6 D$ h
Proportion, 比/构成比; }1 n7 ~7 C! K( U8 _ C$ a
Proportion allocation in stratified random sampling, 按比例分层随机抽样& }# u t6 C+ p2 D" i8 ?7 G1 X; l" v
Proportionate, 成比例2 e; F9 ~0 r3 g+ Z+ @# n
Proportionate sub-class numbers, 成比例次级组含量
" k& t( x! E {' L3 ~+ X' v. k) [Prospective study, 前瞻性调查- `; T/ v" b2 J
Proximities, 亲近性 : y S+ n# [, z& o6 I: t
Pseudo F test, 近似F检验
# I) c. S- _0 t; D4 N3 W% T% M) GPseudo model, 近似模型
# ~3 F( I5 I& X$ Q7 NPseudosigma, 伪标准差0 X! Q' F9 W% M+ X" m. v/ R+ F$ j
Purposive sampling, 有目的抽样) t# H2 h. B* s( [% L( T- H
QR decomposition, QR分解
4 v/ J4 z9 x. @4 t2 \* L* aQuadratic approximation, 二次近似8 j! |) _ |! S+ G+ N1 @! o+ O
Qualitative classification, 属性分类2 K& H, [% `! f5 }9 ? T
Qualitative method, 定性方法& r- X# B h7 L8 E& T0 I$ l- G
Quantile-quantile plot, 分位数-分位数图/Q-Q图5 v; l) U( z* t& q. ^
Quantitative analysis, 定量分析
" y) H- y+ u. N5 u( D+ z( z# [: \Quartile, 四分位数
5 t/ S' r! @3 A) `Quick Cluster, 快速聚类7 ]' V3 V$ a t( r' g
Radix sort, 基数排序) l) {' \. [+ _, Y$ S. \
Random allocation, 随机化分组
! `8 K M+ b3 d2 ^- dRandom blocks design, 随机区组设计0 ~* a' @+ T9 @9 ?4 {' ?3 }, _5 L
Random event, 随机事件
* B' z. |7 J$ d* s( m# ]& FRandomization, 随机化
1 [7 O2 T0 F& v1 b( d6 bRange, 极差/全距; W8 [9 \) Z+ Y* }- }7 h2 t
Rank correlation, 等级相关
# t8 L' ^. y+ j$ |Rank sum test, 秩和检验
3 q A- W j" S# d. r6 H/ O a4 p- J, oRank test, 秩检验
# D; L0 [4 F' tRanked data, 等级资料* c) x6 J1 O! W$ u
Rate, 比率7 G4 \* P$ t( n \: v% J
Ratio, 比例 f$ q' z, H4 v; R( D: t- I7 m" ^
Raw data, 原始资料
" n: T5 g) v" X6 {3 I1 zRaw residual, 原始残差9 g) u9 T& i- R$ D6 q* H9 u
Rayleigh's test, 雷氏检验
# a; K ^) Z | BRayleigh's Z, 雷氏Z值
3 J, Z& }. I$ `' A6 b4 F3 W! ^- HReciprocal, 倒数+ [- N3 T4 n& U4 C
Reciprocal transformation, 倒数变换
. U) h* z* ~$ tRecording, 记录
3 N, f; e# P4 b# R! D: d- i' KRedescending estimators, 回降估计量 a% a+ n: _8 _2 m& n
Reducing dimensions, 降维! ]# O, f+ A u
Re-expression, 重新表达
/ ~/ j* R$ W/ E0 O5 H8 h rReference set, 标准组6 o4 C" }) R+ m( |0 v9 ]8 T
Region of acceptance, 接受域
! p/ J& N, n# j( V3 f* `Regression coefficient, 回归系数% M# d: W+ A [1 L B* m! F
Regression sum of square, 回归平方和
8 x/ g$ c: I, Z: H1 j! O! m4 _Rejection point, 拒绝点
/ R9 y( l; |8 y7 E$ S* ZRelative dispersion, 相对离散度
0 W( O: [" V3 y( g1 U) }# K6 f rRelative number, 相对数, o& E0 C* m1 D' R; @
Reliability, 可靠性
5 [: v r& P7 fReparametrization, 重新设置参数
9 J0 `5 J Q& a( s5 WReplication, 重复
H# q4 _7 u: d; ~Report Summaries, 报告摘要
8 y# z$ u& f+ n0 q5 L4 z0 r0 OResidual sum of square, 剩余平方和- m# _5 x6 E) p6 {3 L Z. C; B
Resistance, 耐抗性# M! C0 I4 ?3 U4 @2 N
Resistant line, 耐抗线' B! n8 C! J' m3 V( S D
Resistant technique, 耐抗技术
' j5 _+ G# y$ x3 ?R-estimator of location, 位置R估计量
/ C: |! [6 C. m9 CR-estimator of scale, 尺度R估计量
0 u+ h) k8 z p/ h0 ?5 x% jRetrospective study, 回顾性调查
7 h( t1 G7 k& J. B1 i- P/ Q4 IRidge trace, 岭迹8 w# y# [* R, l' L8 h0 _
Ridit analysis, Ridit分析" z! y9 L: s. {) k7 m7 |
Rotation, 旋转
' I: E( u: B* T! I, k" I4 YRounding, 舍入, C9 b) C8 E+ `1 k" e ?
Row, 行; z/ |* P# m" _ q+ v" G$ @
Row effects, 行效应
$ b$ k2 {" B( y, j+ y- y; JRow factor, 行因素/ T2 v2 H9 p. }; U" D$ _8 v7 P
RXC table, RXC表
5 d& I8 P, D! H- W# BSample, 样本% o* L7 O/ D' k: Z
Sample regression coefficient, 样本回归系数1 a( L& ~8 v3 A
Sample size, 样本量8 v e- o: N& D& L* g% ?
Sample standard deviation, 样本标准差1 _" _1 T8 o* e/ U8 J4 \8 {
Sampling error, 抽样误差
. J" D3 U7 y' y" z/ L' K! K% rSAS(Statistical analysis system ), SAS统计软件包; F) O- _# z) e, T! |* R
Scale, 尺度/量表
& U1 @- O- Z: n7 _' L" LScatter diagram, 散点图: w* a8 I! i$ a" ~2 a7 d! A s
Schematic plot, 示意图/简图
6 B4 x4 V- y, k# g4 FScore test, 计分检验! _; b3 l( z6 a$ ^+ r4 {; X
Screening, 筛检; Z D! [, |6 u$ F/ T, y+ z! W
SEASON, 季节分析
/ W K$ _6 N1 z. O2 QSecond derivative, 二阶导数
4 y4 u1 J. j! z1 TSecond principal component, 第二主成分. @* s9 H& y' v5 d0 ]9 a. {
SEM (Structural equation modeling), 结构化方程模型 3 T& k/ u/ Z0 m
Semi-logarithmic graph, 半对数图
9 F" V! a( ?) F [, ZSemi-logarithmic paper, 半对数格纸
5 r. |1 {% }& _2 xSensitivity curve, 敏感度曲线1 G$ O% E$ h3 R0 g
Sequential analysis, 贯序分析
h7 Z% Y2 g- T. OSequential data set, 顺序数据集
1 W0 w9 K' z3 |Sequential design, 贯序设计) F3 w; W. ^* ?: f( G' z) T- [4 P
Sequential method, 贯序法1 b) J4 ?/ m' b0 c+ P8 a3 |
Sequential test, 贯序检验法
- b9 ?% p( u! e5 _! kSerial tests, 系列试验
6 F6 v8 \: g! B" b W2 o( V1 B: ^7 gShort-cut method, 简捷法 # _ N( A/ U; a2 a5 ]. ?" S1 Y: I
Sigmoid curve, S形曲线
$ S4 D! T- ?& R8 S6 |Sign function, 正负号函数
. L/ p+ {+ z7 D7 T" ~$ FSign test, 符号检验, \. Z# p. D$ A, Y$ b% _- x( O9 t
Signed rank, 符号秩
9 A* l3 B Q) P& v( ?Significance test, 显著性检验
+ {1 v/ E& u XSignificant figure, 有效数字
Y. X, N" E' E) D" ]! \. s- v' gSimple cluster sampling, 简单整群抽样
9 d' u0 U( |" t0 YSimple correlation, 简单相关
" m" d# ]/ A- ^% h1 d" @) fSimple random sampling, 简单随机抽样8 I1 m1 I& B0 G
Simple regression, 简单回归! R! W8 R9 M8 x& L& h# w( j+ W" ~
simple table, 简单表; _" }, L& _' N( z. k
Sine estimator, 正弦估计量
) | G; {% C% M B) PSingle-valued estimate, 单值估计& o% M" C" a/ N0 S4 _- f" e
Singular matrix, 奇异矩阵
5 ]" D; b9 J! wSkewed distribution, 偏斜分布
1 ^0 Y1 q. q/ w! lSkewness, 偏度
" q+ m p' r$ f3 H7 @8 rSlash distribution, 斜线分布& V& r. {' D* F7 r: [4 R
Slope, 斜率
4 P. r5 g- m) d1 L' LSmirnov test, 斯米尔诺夫检验( x/ D* \# [3 t0 X
Source of variation, 变异来源
! C/ x8 R) |! ^, WSpearman rank correlation, 斯皮尔曼等级相关
, E: ~* f! \; C X' u3 P ~Specific factor, 特殊因子 [% {8 t6 [7 @% Y
Specific factor variance, 特殊因子方差& p, D9 b: g" p5 M3 I6 \7 d
Spectra , 频谱: q4 `, R% ]3 u' {! h
Spherical distribution, 球型正态分布! D" U. @5 H* o- S: o
Spread, 展布# @: ^9 j6 H$ H' k* t
SPSS(Statistical package for the social science), SPSS统计软件包
/ m! w W6 t- w# c( w8 FSpurious correlation, 假性相关
- g& S* x" }2 H- O, F1 mSquare root transformation, 平方根变换$ `3 J0 ~4 m' O1 `* N/ q' `( ^* W
Stabilizing variance, 稳定方差* U8 v& g1 |4 |% [5 ~# e
Standard deviation, 标准差
2 B/ @- y; z9 ?. mStandard error, 标准误
" D1 k' f# p/ g3 D5 uStandard error of difference, 差别的标准误
; U: v; b# ]7 F: h5 nStandard error of estimate, 标准估计误差+ p8 p6 q* K n3 h% @( Q8 m
Standard error of rate, 率的标准误
$ \3 v! y3 E( X, T' ]Standard normal distribution, 标准正态分布/ U4 R$ x2 n% i% Z) c' X
Standardization, 标准化
% T; _& ]% Z9 QStarting value, 起始值
$ O; m/ c9 h0 s* |Statistic, 统计量
3 E4 O, M9 W7 j) z" U% D# h# _Statistical control, 统计控制
0 @1 n9 a; B2 i, H& OStatistical graph, 统计图
& g" S @, C, t$ lStatistical inference, 统计推断
, D6 s* R+ S) D, W3 K- M# qStatistical table, 统计表
; R1 g9 H K* T9 h2 ESteepest descent, 最速下降法
3 W' ?- I2 F3 r/ B: Z! yStem and leaf display, 茎叶图
, y) }: j+ N! W# n6 N0 zStep factor, 步长因子/ I- z. A% _) k/ Q5 U% o
Stepwise regression, 逐步回归; C; M9 U/ m- s- w& y
Storage, 存3 E* n' C+ N' W: I! u
Strata, 层（复数）5 _9 D) j) u" V% T% H
Stratified sampling, 分层抽样: i& h. Q7 U& I/ D& L; _, m
Stratified sampling, 分层抽样/ v( Q% C2 p; F: P
Strength, 强度% w( ?. C, W/ m: r
Stringency, 严密性
% A4 S- ~# d8 W9 f% j: aStructural relationship, 结构关系4 v6 l) b7 Z4 y0 f% Y
Studentized residual, 学生化残差/t化残差2 H% H5 S" @; s( t3 g0 g9 u
Sub-class numbers, 次级组含量
' T7 z& i: C' j. SSubdividing, 分割! H x, s* F( W- v, l) {: x
Sufficient statistic, 充分统计量3 G5 }5 A5 B9 Q; {# O. |1 t5 L
Sum of products, 积和
5 c- @$ a- c# d% K0 z' hSum of squares, 离差平方和( r# _; l' u2 { T
Sum of squares about regression, 回归平方和
; V# `3 D+ W5 H7 \0 {2 h3 Y5 A% oSum of squares between groups, 组间平方和5 d: E( z, y1 K4 j, J' L0 j7 |, p# @& f
Sum of squares of partial regression, 偏回归平方和
1 n4 k% @: W$ O& _) g* n& kSure event, 必然事件
5 q9 e! e+ y) L. n, w1 hSurvey, 调查& `+ p- L6 x- ^
Survival, 生存分析. ]; I- }" N- F
Survival rate, 生存率# p( n* n6 {9 Z
Suspended root gram, 悬吊根图# w2 Z6 p% c) y2 a8 v+ Y6 ~, f
Symmetry, 对称' O* J \- w8 c, U/ b. g7 _
Systematic error, 系统误差! q i) o) g+ h( I! K
Systematic sampling, 系统抽样
9 d' H9 d2 r1 e9 V& D2 g: t, g/ BTags, 标签
# q3 r: Z2 C1 M" X) sTail area, 尾部面积9 @% z3 k b; M) h1 g' b
Tail length, 尾长
) k8 t. h# v2 N0 j+ h6 MTail weight, 尾重* m& E; J6 J0 C
Tangent line, 切线
% \7 ^" F) A# Z$ W( ^' `/ D# s# yTarget distribution, 目标分布
9 l8 O( T! \1 Q1 h, u1 pTaylor series, 泰勒级数0 P$ ~$ M$ `! p' ~; ~/ q' E
Tendency of dispersion, 离散趋势8 ?8 c& K3 Z0 w8 m) W& f. a
Testing of hypotheses, 假设检验
# Z0 {- x" A0 S' OTheoretical frequency, 理论频数2 Z5 }- W- P0 X# F
Time series, 时间序列
: A% j) d/ K( \4 iTolerance interval, 容忍区间
. {9 S: L# N9 R7 S, W% iTolerance lower limit, 容忍下限$ i5 K" p |+ A T# O
Tolerance upper limit, 容忍上限2 @4 |, S8 C. O: u: ~
Torsion, 扰率- r6 g& L; `& {; @
Total sum of square, 总平方和
( b0 y3 P% j2 _4 q" K, d9 ~9 qTotal variation, 总变异
# e1 {4 ?' {, S, fTransformation, 转换
- n) v- {! q( p9 c9 {Treatment, 处理 M9 \5 A6 X2 R6 J
Trend, 趋势
8 D) ~3 X# V6 l9 d3 N( xTrend of percentage, 百分比趋势 l# _# n" ^% _/ j! P+ a
Trial, 试验$ \8 v {5 o3 A
Trial and error method, 试错法
, T6 i( ^* F- ^9 v, q- k* q2 ^6 DTuning constant, 细调常数' Y0 b. h% j7 r( E! z3 J& F: P
Two sided test, 双向检验
, ~+ W, m! ^! B8 L( BTwo-stage least squares, 二阶最小平方
8 V+ s2 s& ^' [Two-stage sampling, 二阶段抽样5 L' l, y& U+ B4 w
Two-tailed test, 双侧检验& Q: z/ A2 p" L! w
Two-way analysis of variance, 双因素方差分析
$ h* d1 b3 S: [2 c$ h$ P tTwo-way table, 双向表
3 ~* H7 o6 {6 jType I error, 一类错误/α错误% c/ k- q5 Q, C' P$ D
Type II error, 二类错误/β错误7 h4 A5 K' O" w B& K
UMVU, 方差一致最小无偏估计简称; B5 J9 l+ U ?, D: z+ A
Unbiased estimate, 无偏估计3 ]# s% A* u+ F% }9 H
Unconstrained nonlinear regression , 无约束非线性回归
9 r9 k5 f t" b; Q: x8 O" v4 JUnequal subclass number, 不等次级组含量2 y5 ~. j( S4 c
Ungrouped data, 不分组资料
K0 F7 X& ~% fUniform coordinate, 均匀坐标% V1 A$ |0 e9 s
Uniform distribution, 均匀分布
0 I" I: B" l) n, v5 KUniformly minimum variance unbiased estimate, 方差一致最小无偏估计. t( Q# r7 _$ a j8 O* u" U
Unit, 单元% h5 e, r$ o! a. w% V) o, E
Unordered categories, 无序分类
( z1 d& Z6 a! R# T: M! s) GUpper limit, 上限
( Y: o* v6 }; F" DUpward rank, 升秩
" B5 \& T9 X# E% k! D# JVague concept, 模糊概念- f2 u; l: }& F6 \
Validity, 有效性, d1 C! y2 }2 D( l
VARCOMP (Variance component estimation), 方差元素估计
8 E! w0 o$ a* r6 GVariability, 变异性
0 I! e5 ~3 ]- W; }8 O% GVariable, 变量
# c$ _8 k( m) Y7 m9 \, HVariance, 方差7 B( _) z' M- }2 p
Variation, 变异
3 x* a$ p6 I; x( nVarimax orthogonal rotation, 方差最大正交旋转5 P0 [# O$ F7 A! E, F; t6 D% [4 `. K+ R
Volume of distribution, 容积
! A* N Q# ~5 C7 n& ^2 k/ s, pW test, W检验
; [/ S* Z" J' i$ B0 C% _, ZWeibull distribution, 威布尔分布* d( }3 G: |! ], I
Weight, 权数
& f! W& R3 C6 z2 K; bWeighted Chi-square test, 加权卡方检验/Cochran检验9 k; ]/ V2 g! q4 v8 Y! M9 O
Weighted linear regression method, 加权直线回归
" o& Q4 B: Y9 V% Q: I1 _Weighted mean, 加权平均数
! F# k1 l. u0 XWeighted mean square, 加权平均方差
1 s0 V9 R' w3 _# [Weighted sum of square, 加权平方和
6 H2 k+ l5 r/ C, b1 w& DWeighting coefficient, 权重系数, r8 [2 q3 }! x$ x4 ]( J6 M
Weighting method, 加权法
7 `& r5 |8 D2 v+ j3 \W-estimation, W估计量
5 `' H' A2 I) Y) q: q/ i9 ]W-estimation of location, 位置W估计量% n! ], `! J, H
Width, 宽度+ K7 z% ^: l$ F& {6 P
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验. R1 v) G3 F6 Z" c7 U/ W
Wild point, 野点/狂点 i1 T- S5 Y) R' T! W6 | X; p
Wild value, 野值/狂值# E8 E; ?- @! [$ W5 b! K, S5 l& K
Winsorized mean, 缩尾均值: R0 U6 x+ G. Z4 ?
Withdraw, 失访
1 q* f& \5 p2 e/ r: j- q' rYouden's index, 尤登指数
9 R! L# j9 ~$ M7 ^! K# o# jZ test, Z检验
. r- ]( T6 B. l' P. E( @! m% dZero correlation, 零相关0 C& j" b f5 r# Z6 E/ \
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
